Goldbeck Consulting is involved in research into various aspects of the materials modelling ecosystem. An overview and links to publications and reports are provided below. Please use the contact form for requesting any of the reports or asking for further information.
A White Paper providing background of the materials modelling software market and a discussion of business models currently used in the industry, based on a number of interviews as well as workshops. It elaborates on attributes of software sustainment (Users and Communities, Software Development, Product Management, Revenue Generation) for materials modelling software.
This case study demonstrates how the thermal conductivity of polymer matrix is modified by adding graphene sheets. In particular, the study considers the effect of dispersion and aggregation of graphene sheets on thermal conductivity. The case study is the result of a collaboration with JSOL and e-Xstream engineering, combining the capabilities of the J-OCTA and Digimat-FE softwares in a multiscale workflow.
The report provides an overview of the scientific software industry, its sectors, drivers, requirements and business models, and in particular addresses the following topics:
- The structure of the software industry.
- Requirements for software development: in-house and through collaboration.
- Routes to market for scientific software, e.g. via software houses or direct licensing into specific industries.
- Commercialisation requirements: standards, IP ownership, licensing schemes.
- Warranty and liability issues.
A study investigating how materials modelling impacts industrial research and innovation, competitiveness and profitability, including qualitative and quantitative performance indicators based on a survey of industrial users of materials modelling.
Industry Case Studies: combining discrete and continuum modelling to address industrial R&D challenges (includes impact evaluation) (2015)
The evidence for economic impact of molecular modelling of chemicals and materials is investigated, including the mechanisms by which impact is achieved and how it is measured.
A discussion document of key topics for Engineering & Upscaling. It summarises findings from a Cluster of European FP7 projects and identifies barriers, requirements and potential actions for taking research outcomes to commercialisation.
The first report of the European Materials Modeling Council. It is part of the development of a European Commission Policy for Advanced Materials and Nanotechnology Modelling, Simulation and Design. The report was put together with the support of Goldbeck Consulting in the context of a one day meeting of stakeholders from the EU’s materials modelling community held in Brussels on 27th February 2014.
Esteco Technical Focus article providing and overview of the field and case examples.
White Paper by Danilo Di Stefano (ESTECO Spa) and Gerhard Goldbeck (2012)
Improving the efficiency of complex material design and optimization; increasing the performance of composite parts and tuning the final property profile. Gerhard Goldbeck (Goldbeck Consulting), Jan Seyfarth, Benoit Bidaine (e-Xstream Engineering), Danilo Di Stefano (ESTECO SpA). Enginsoft Newsletter Year 9 (3), p 14 (2012)
Solid Form Informatics for pharmaceuticals and agrochemicals: Knowledge-based substance development and risk assessment.
Gerhard Goldbeck (Goldbeck Consulting Ltd), Elna Pidcock and Colin Groom (CCDC) (2011)
The White Paper introduces a knowledge based approach to improving effectiveness, quality and risk assessment in the development of solid formulations of drugs, agrochemicals and molecular materials.
Marc Meunier (Ed.), Foreword by Gerhard Goldbeck (pp iX-Xi, see ‘look inside’), Nov 2011.
The field of quantum and molecular simulations has experienced strong growth since the time of the early software packages. A recent study, showed a large increase in the number of people publishing papers based on ab initio methods from about 3,000 in 1991 to roughly 20,000 in 2009, with particularly strong growth in East Asia. Looking to the future, the question remains as to how these methods can be further integrated into the R&D value chain, bridging the gap from engineering to manufacturing.